[D] MCDropout and CNNs

• DropoutUncertaintyExps

  2 519 0.0 Python

  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

I found a piece of code by Gal, who defines a log likelihood, and they use that to determine the best model: https://github.com/yaringal/DropoutUncertaintyExps/blob/master/net/net.py. Is that somewhat the standard approach?

• EfficientNet-PyTorch

  2 7,715 0.0 Python

  A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

I used this with the popular pytorch implementation of EfficientNet. You can see what I'm talking about here https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py on line 127. Once you understand this code it is pretty straightforward to modify your forward pass to allow "stochastic depth" during inference.

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